Planning for multiple measurement channels in a continuous-state POMDP

Ann. Math. Artif. Intell., pp. 283-317, 2013.

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Continuous-state partially observable Markov decision processes (POMDPs) are an intuitive choice of representation for many stochastic planning problems with a hidden state. We consider a continuous-state POMDPs with finite action and observation spaces, where the POMDP is parametrised by weighted sums of Gaussians, or Gaussian mixture mo...More



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